COVID-19 Public Sentiment Evaluation Through Twitter

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Abstract

Data visualization is the representation of data in a visual form, such as a graph or chart. It is very helpful in displaying information in a manner that is easy for viewers and evaluators to understand, that is why it is becoming a more popular form of sharing information. Data visualization is more complex than simply a visual representation of information in the form of a chart, graph, diagram, picture, table, etc. Understanding Big Data sets is a difficult task and with Big Data continuing to grow at such a rapid pace, it displays the need for more ways to understand it. As the world of Big Data continues to grow, the value in creating and using such a key tool as data visualization to make sense of numerous rows and columns of data continues to grow as well. An extremely accurate and well detailed visualization has been proven to be useful when drawing trends in larger data sets. An exceptional visualization tells a unique story about a given Big Data set. Trends can be highlighted, results can be drawn, and conclusions can be made often with the possibility of the results being generalizable to other real-world examples. Effective data visualizations often combine quantitative and qualitative data so that an accurate analysis can be drawn.

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